Implicit Argument Prediction as Reading Comprehension

Authors

  • Pengxiang Cheng The University of Texas at Austin
  • Katrin Erk The University of Texas at Austin

DOI:

https://doi.org/10.1609/aaai.v33i01.33016284

Abstract

Implicit arguments, which cannot be detected solely through syntactic cues, make it harder to extract predicate-argument tuples. We present a new model for implicit argument prediction that draws on reading comprehension, casting the predicate-argument tuple with the missing argument as a query. We also draw on pointer networks and multi-hop computation. Our model shows good performance on an argument cloze task as well as on a nominal implicit argument prediction task.

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Published

2019-07-17

How to Cite

Cheng, P., & Erk, K. (2019). Implicit Argument Prediction as Reading Comprehension. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 6284-6291. https://doi.org/10.1609/aaai.v33i01.33016284

Issue

Section

AAAI Technical Track: Natural Language Processing